{"schemaVersion":"jobsearcher.job.v1","id":"b0c7afbf26d0fc7120d905f3","url":"https://jobsearcher.com/jobs/b0c7afbf26d0fc7120d905f3","canonicalUrl":"https://jobsearcher.com/jobs/b0c7afbf26d0fc7120d905f3","title":"Data Engineer","description":"About The RoleThe role owns the design, implementation, and scaling of core data infrastructure and reliable ingestion pipelines processing terabytes of information daily.The team works closely with analytics and product engineering to ensure high data quality, seamless access, and performant data warehousing models.Key ResponsibilitiesDesign and build scalable ETL/ELT data pipelines using Python, SQL, and Apache Airflow to ingest data from diverse internal and external sourcesOptimize data warehouse architecture and data models in Snowflake or BigQuery for high query performance and cost efficiencyImplement automated data quality checks and anomaly detection mechanisms to ensure integrity across all production reporting layersCollaborate with software engineering teams to define event logging schemas and streaming infrastructure using Kafka or KinesisMaintain comprehensive technical documentation for data lineage, schemas, data governance policies, and pipeline operational runbooksWhat We Are Looking For3–6 years of experience in data engineering, building production-grade data pipelines and data warehouse architectureExpert-level SQL and advanced Python proficiency for data manipulation, scripting, and automationHands-on experience with modern workflow orchestration tools such as Airflow, Prefect, or DagsterSolid understanding of cloud data warehouses like Snowflake, BigQuery, or Redshift, and cloud platforms like AWS or GCPBonus: Experience with real-time streaming architectures, dbt (data build tool), and Infrastructure as Code tools like Terraform","company":"Evlo Ai","rawCompany":"evlo ai","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-08-19T12:52:56.388Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"About The RoleThe role owns the design, implementation, and scaling of core data infrastructure and reliable ingestion pipelines processing terabytes of information daily.The team works closely with analytics and product engineering to ensure high data quality, seamless access, and performant data warehousing models.Key ResponsibilitiesDesign and build scalable ETL/ELT data pipelines using Python, SQL, and Apache Airflow to ingest data from diverse internal and external sourcesOptimize data warehouse architecture and data models in Snowflake or BigQuery for high query performance and cost efficiencyImplement automated data quality checks and anomaly detection mechanisms to ensure integrity across all production reporting layersCollaborate with software engineering teams to define event logging schemas and streaming infrastructure using Kafka or KinesisMaintain comprehensive technical documentation for data lineage, schemas, data governance policies, and pipeline operational runbooksWhat We Are Looking For3–6 years of experience in data engineering, building production-grade data pipelines and data warehouse architectureExpert-level SQL and advanced Python proficiency for data manipulation, scripting, and automationHands-on experience with modern workflow orchestration tools such as Airflow, Prefect, or DagsterSolid understanding of cloud data warehouses like Snowflake, BigQuery, or Redshift, and cloud platforms like AWS or GCPBonus: Experience with real-time streaming architectures, dbt (data build tool), and Infrastructure as Code tools like Terraform","datePosted":"2026-08-19T12:52:56.388Z","dateModified":"2026-08-19T12:52:56.388Z","hiringOrganization":{"@type":"Organization","name":"Evlo Ai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b0c7afbf26d0fc7120d905f3"},"url":"https://jobsearcher.com/jobs/b0c7afbf26d0fc7120d905f3"}}